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The core task of digital library is that provides good information retrieval system for the users. Traditional information retrieval technology is mainly based on keyword matching and has little semantic inferring ability. Moreover it does not provide semantic guidance for users. So information retrieval system may
This paper is started from addressing the common automatic method of ontology construction. Then, from viewpoint of the military intelligent processing, the two-level domain ontology architecture is designed. One level is the keyword ontology. The other level is the instance ontology. Different level has different
Allegro Graph as database and then we explain the process of modeling the ontology-based platform with the dataset of scientist knowledge of Chinese Academy of Sciences. The platform can achieve a better performance than the keyword based information retrieval.
Traditional agricultural knowledge service is based on keyword rather than content, the recall rate and precision rate cannot to be improved. The knowledge representation based on semantic web can truly achieve the semantic-level knowledge service. This paper analyzes the status of agricultural knowledge service
, and Lucene. In addition, this paper translated the KIM system into Chinese, and gave details of the physical search, physical model of search, pre-defined pattern search and keyword search implementation. At last, we analysed the problems of KIM system, and future direction of development.
The current grid information retrieval commonly uses the method based on keywords, and the retrieval method depends on the keywords that match their participation in the external form of characters, rather than the concept expressed by their neglect of the semantic information inherent in the word. It brings about
The construction of Automated Digital Libraries has grabbed widespread popularity over recent years, rendering the value added services that suit to the tailored user requirements. In this context, carrying out traditional searches over text material by querying upon a given metadata or a set of domain keywords is
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